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On learning multicategory classification with sample queries
Joel Ratsaby
Research output
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Contribution to journal
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Article
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peer-review
1
Scopus citations
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Dive into the research topics of 'On learning multicategory classification with sample queries'. Together they form a unique fingerprint.
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Keyphrases
Pattern Classes
100%
Multi-category Classification
100%
Conditional Probability Distribution
66%
Class Conditional Probability
66%
Sample Proportion
66%
Priori Probability
66%
Probability Distribution
33%
Classification Algorithms
33%
Learning Accuracy
33%
Pattern Recognition
33%
Classical Theory
33%
Bayes Classifier
33%
Pattern Classification Problem
33%
Labeled Sample
33%
Learning Classification
33%
Character Recognition
33%
Intrinsic Complexity
33%
Computer Science
Pattern Recognition
100%
Conditional Probability
100%
Labeled Example
100%
Priori Probability
100%
Sample Proportion
100%
Classification Algorithm
50%
Bayes Classifier
50%
Recognition Problem
50%
Character Recognition
50%
Classical Theory
50%
Mathematics
Probability Distribution
100%
Subsample
66%
Probability Theory
66%
Minimizes
66%
Pattern Recognition
66%
Conditional Probability
66%
Sample Proportion
66%
Classical Theory
33%
Underlying Probability
33%